Nitesh Chidrawar

MaleSystem Integration EngineerLive in IndiaNationality India
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Summary

With 5+ years of experience in cloud infrastructure, DevOps automation, and site reliability engineering (SRE), I specialize in designing, deploying, and optimizing scalable cloud environments. I have successfully collaborated with European clients and stakeholders, delivering high-performance, secure, and cost-effective cloud solutions tailored to business needs. My contributions have been recognized through a formal endorsement from a European client, appreciating my expertise and dedication. 🔹 Cloud & Infrastructure Automation – Architecting high-availability cloud environments using AWS, GCP, and Azure, leveraging Terraform, CloudFormation, and Ansible for IaC (Infrastructure as Code). 🔹 CI/CD & DevOps Tooling – Implementing automated pipelines with Jenkins, GitHub Actions, GitLab CI/CD, ensuring fast and reliable software delivery. 🔹 Kubernetes & Containerization – Managing large-scale Kubernetes clusters (EKS, GKE, AKS) with Helm, Prometheus, and Grafana for monitoring. 🔹 SRE & Monitoring – Enhancing system reliability using ELK, Prometheus, Datadog, New Relic, and proactive incident response strategies. 🔹 Cloud Databases & Performance Tuning – Optimizing RDS, DynamoDB, PostgreSQL, and MySQL for high availability and performance. I thrive in fast-paced environments where automation, scalability, and efficiency drive success. Passionate about cloud-native technologies, DevSecOps best practices, and optimizing infrastructure costs, I am always eager to explore cutting-edge solutions that empower businesses.

Work experience

Infrastructure Engineer

Quorum Software
2022.12-2025.02(2 years)
• Experienced in designing and managing hybrid cloud environments (AWS). Automated cloud infrastructure deployment and configuration for efficiency and scalability. • Designed and implemented CI/CD pipelines using Jenkins, GitHub Actions, reducing deployment time and improving efficiency. • Developed and maintained shell scripts to automate routine system administration tasks, improving operational efficiency. • Managed containers and orchestration with Docker, Kubernetes (EKS, AKS, GKE) for efficient microservices deployment.
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